Shabab Bazrafkan
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Co-authors
- Peter CorcoranJoseph LemleyShejin ThavalengalFriedrich FraundorferStefan HabenschussAnuradha KarPaweł FilipczukJan Sijbers
- Topics
- Biometric Identification and Security (6 papers)Face recognition and analysis (6 papers)User Authentication and Security Systems (5 papers)
- Partner nations
- IrelandBelgiumNetherlands
In The Last Decade
Shabab Bazrafkan
23 papers receiving 736 citations
Peers
Comparison fields: 5 of 122
- Computer Vision and Pattern Recognition 356
- Artificial Intelligence 232
- Signal Processing 147
- Radiology, Nuclear Medicine and Imaging 93
- Information Systems 74
Countries citing papers authored by Shabab Bazrafkan
This map shows the geographic impact of Shabab Bazrafkan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Shabab Bazrafkan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabab Bazrafkan more than expected).
Fields of papers citing papers by Shabab Bazrafkan
This network shows the impact of papers produced by Shabab Bazrafkan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Shabab Bazrafkan. The network helps show where Shabab Bazrafkan may publish in the future.
Co-authorship network of co-authors of Shabab Bazrafkan
This figure shows the co-authorship network connecting the top 25 collaborators of Shabab Bazrafkan. A scholar is included among the top collaborators of Shabab Bazrafkan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shabab Bazrafkan. Shabab Bazrafkan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 73 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 13 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 3 | |
| 9 | 83 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 20 | |
| 15 | Transfer Learning of Temporal Information for Driver Action Classification. | 8 |
| 16 | 178 | |
| 17 | 260 | |
| 18 | 5 | |
| 19 | 3 | |
| 20 | 23 |
About Shabab Bazrafkan
Shabab Bazrafkan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Human-Computer Interaction, having authored 23 papers that have together received 778 indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), Face recognition and analysis (6 papers) and User Authentication and Security Systems (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (356 citations), Signal Processing (147 citations) and Human-Computer Interaction (50 citations). Shabab Bazrafkan has collaborated with scholars based in Ireland, Belgium and Netherlands. Frequent co-authors include Peter Corcoran, Joseph Lemley, Shejin Thavalengal, Friedrich Fraundorfer, Stefan Habenschuss, Anuradha Kar, Paweł Filipczuk, Jan Sijbers, Jan De Beenhouwer and Hossein Javidnia. Their work appears in journals such as IEEE Access, Neural Networks and Pattern Recognition Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.